Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA348122 | ENA |
REPOSITORIES: ENA
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Project description:In this study, we examined the association of DNA methylation with metabolic traits in humans using adipose tissue samples from the Metabolic Syndrome in Men (METSIM) cohort. The METSIM cohort has been thoroughly characterized for longitudinal clinical data of metabolic traits including a 3-point oral glucose tolerance test, cardiovascular disorders, diabetes complications, drug and diet questionnaire, as well as high density genotyping, and genome-wide expression in adipose. We performed epigenome-wide association studies on clinical traits using reduced representation bisulfite sequencing data and identified 61 signifiant associations for metabolic syndrome traits, corresponding to 25 unique loci. These associations include previously known genes, FASN, RXRA, MSH2, and MSH6, as well as 22 loci harboring 18 new candidate genes for diabetes and obesity in humans.
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Project description:We performed single-nucleus RNA-seq using 10X on 84 randomly sampled participants from the METabolic Syndrome In Men (METSIM) cohort. The purpose of the study was to characterize cell type composition changes associated with metabolic diseases such as obesity and type 2 diabetes.
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Project description:Metabolic Syndrome in Men (METSIM) Study
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Project description:For understanding the relationship of preeclampsia and placental methylation,we performed an epigenome-wide association study in a Chinese cohort containing 22 early-onset preeclampsia patients and 20 normal controls. We used Illumina Infinium HumanMethylation450k BeadChip for detecting the methylation level, and used placental genomic DNA as sample. most of the significant CpG sites were hypomethylated in EOPE in the Chinese cohort.
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Project description:Epigenome-wide association of liver methylation patterns and complex metabolic traits in mice
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Project description:Metabolic Syndrome in Men (METSIM) - T2D-GENES Exome Sequencing Study
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Project description:Monozygotic twins discordant for type 2 diabetes constitute an ideal model to study environmental contributions to type 2 diabetic traits. We aimed to examine whether global DNA methylation differences exist in major glucose metabolic tissues from twelve 53–80 year-old monozygotic discordant twin pairs. DNA methylation was measured by the Illumina HumanMethylation27 BeadChip in 22 (11 pairs) skeletal muscle and 10 (5 pairs) subcutaneous adipose tissue biopsies. No replicates were included.
2012-12-10 | E-GEOD-38291 | biostudies-arrayexpress
Project description:<p>The METSIM Study includes 10,197 men, aged from 45 to 73 years, randomly selected from the population register of the town of Kuopio, Eastern Finland, and examined in 2005-2010. The aim of the study is to investigate genetic and non-genetic factors associated with the risk of type 2 diabetes (T2D), cardiovascular disease (CVD), and insulin resistance-related traits in a cross-sectional and longitudinal setting. Study protocol includes collection of data on CVD risk factors (smoking, exercise, diet, history of chronic diseases including coronary heart disease, stroke, cardiac failure, medication, history of diabetes or early onset coronary heart disease in the family), questionnaire on the FINDRISC Score, measurement of height, weight, waist, hip, blood pressure, and bioimpedance for the evaluation of fat percentage.</p> <p><b>July 2016</b> - This first study release includes phenotype and whole exome sequencing data of n=982 participants in substudy: Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Multi-Ethnic Samples (T2D-GENES) Project 1: Metabolic Syndrome in Men Study (METSIM) - <a href="study.cgi?study_id=phs001100">phs001100</a>.</p>
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Project description:Heritable epigenetic factors can contribute to complex disease etiology. In this study we examine, on a global scale, the contribution of DNA methylation to complex traits that are precursors to heart disease, diabetes and osteoporosis. We profiled DNA methylation patterns in the liver using bisulfite sequencing in 90 mouse inbred strains, genome-wide expression levels, proteomics, metabolomics and sixty-eight clinical traits, and performed epigenome-wide association studies (EWAS). We found associations with numerous clinical traits including bone mineral density, plasma cholesterol, insulin resistance, gene expression, protein and metabolite levels. A large proportion of associations were unique to EWAS and were not identified using GWAS. Methylation levels were regulated by genetics largely in cis, but we also found evidence of trans regulation, and we demonstrate that genetic variation in the methionine synthase reductase gene Mtrr affects methylation of hundreds of CpGs throughout the genome. Our results indicate that natural variation in methylation levels contributes to the etiology of complex clinical traits. Reduced representation bisulfite sequencing in mouse strains using liver genomic DNA
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